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Record W2074874329 · doi:10.1353/nin.0.0014

Growing the Game: The Globalization of Major League Baseball (review)

2008· article· en· W2074874329 on OpenAlexvenueno aff
Kevin G. Quinn

Bibliographic record

VenueNine · 2008
Typearticle
Languageen
FieldArts and Humanities
TopicAmerican Sports and Literature
Canadian institutionsnot available
Fundersnot available
KeywordsLeagueGlobalizationClubMultinational corporationInternationalizationPolitical scienceEconomic historySociologyHistoryEconomicsLawInternational trade

Abstract

fetched live from OpenAlex

Reviewed by: Growing the Game: The Globalization of Major League Baseball Kevin G. Quinn Alan M. Klein. Growing the Game: The Globalization of Major League Baseball. New Haven, CT: Yale University Press, 2006. 288 pp. Cloth, $30.00 Global economic forces have brought tsunamic change to many American industries during the last couple of decades, and Major League Baseball has not been spared. Even as African American players account for only about one out of every twelve major leaguers, international players comprise nearly one third of MLB rosters.1 Ben Franklin noted long ago in his essay, “Thoughts on Commercial Subjects,” that “no nation was ever ruined by trade,” and it would be difficult to argue that baseball has been compromised by the international expansion of the relevant athlete labor pool. How this expansion came to be and its effects on the national pastime are the focus of Alan Klein’s Growing the Game: The Globalization of Major League Baseball. A professor of sociology and anthropology at Northeastern University and the author of Sugarball: The American Game, the Dominican Dream, Klein is well-equipped to tackle the matter of baseball’s internationalization. In the first of the book’s eight eclectic chapters, Klein paints the current incarnation of MLB as more of a commissioner-led modern multinational than a sleepy country club of team owners. The two next chapters discuss the effects of globalization on the Kansas City Royals and Los Angeles Dodgers, subtly [End Page 155] making the point that there might be a wrong way and a right way for teams to tap international player markets. Even a casual follower of American baseball could hardly have failed to notice the ever-more-prominent role of Latin America as an MLB talent farm, but it is likely that even hardcore horsehide aficionados underestimate its level of development. Klein’s analysis of the Dominican Republic’s Wild West baseball ethos, emblemized by the often-unscrupulous dealings of the buscones—part talent scouts, part player agents—makes the case for more responsible oversight by the Dominican government and MLB International. Japanese baseball, in contrast to Dominican Republic ball, is a microcosm of that country’s complex and structured culture. Asian ideals of honor, nation, and the subservience of the individual to the group manifest themselves throughout their game. Whereas Latin American players tend to focus their sights on making the U.S. big leagues, Klein depicts Japanese players as much more ambivalent toward the idea. Not surprisingly, current Japanese American baseball relations seem as diplomatically nuanced as dealings with Europe during the high colonial era. The state of the game in the developing baseball markets of Italy, Germany, the UK, and South Africa is addressed in two of the volume’s chapters. Players in these baseball Siberias might be using the same rules as those in MLB or the Japanese league, but the money and media attention are more American Legion than American League. The book concludes with a discussion of how the newly minted World Baseball Classic contrasts with FIFA’s World Cup in philosophy, structure, and social impact, and the likelihood of there ever being a truly world competition. Klein’s most important sources are the personal interviews he conducted with a variety of figures in the international baseball community. His contacts are impressive, but the reader is sometimes left questioning whether the points made are truly reflective of the issues in general or if they are more indicative of the individuals interviewed. There are some good statistics provided in the book—baseball people love numbers, of course—but they are somewhat disjointed. Still, the academic research in this area is sorely lacking, and somebody has to start someplace. In the same vein, the structure of the book and its chapters was sometimes a bit puzzling. The text occasionally repeats itself (notably among the first four chapters), and an overarching perspective of global baseball never quite materializes. Rather than positing a grand thesis of some sort, the book comes across as a collection of interesting anecdotes. These stories are certainly worth reading—the accounts of the player immigration implications of the September 11 attacks, Fernandomania, Randy Bass’s struggles...

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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.009
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.005
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0090.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.214
Teacher spread0.198 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2008
Admission routes1
Has abstractyes

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